Metal artifact reduction in dental cbct images usingdirect sinogram correction combined with metalpath-length weighting

HIGHLIGHTS

• who: Mohamed A. A. Hegazy and colleagues from the RandD Center, Ray, Seongnam-si, Republic of Korea Department of Biomedical Engineering, Kyung Hee University, Yongin-si, Republic of Korea have published the research: Metal Artifact Reduction in Dental CBCT Images UsingDirect Sinogram Correction Combined with MetalPath-Length Weighting, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: The authors propose a modified DSC method to reduce severe metal artifacts and the authors have tested it on human dental images. In Figure 10, the authors compare images corrected by the DSC method . . .
  

   

  

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